Predictive Value of Dimensional and Functional MRI Parameters on Mid-Treatment MRI for Pathologic Complete Response in Breast Cancer

Mid-treatment MRI biomarkers, particularly Δ% longest diameter and Δ% ADC value, are effective early predictors of pCR and may support individualized treatment strategies during NAC.

Authors

Levent Altın (ORCID: https://orcid.org/0000-0003-4081-8918)
Ahmet Bozer (ORCID: https://orcid.org/0000-0002-0467-741X)
Hamza Eren Güzel (ORCID: https://orcid.org/0000-0003-4228-0840)

Institutions

Izmir University (TR)

Publication Details

Journal: European Journal of Breast Health
Published: 2025-10-23
DOI: https://doi.org/10.4274/ejbh.galenos.2025.2025-9-1
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 0.00

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article

Predictive Value of Dimensional and Functional MRI Parameters on Mid-Treatment MRI for Pathologic Complete Response in Breast Cancer

Levent Altın, Ahmet Bozer, Hamza Eren Güzel

Oct 23, 2025

European Journal of Breast Health

Radiomics and Machine Learning in Medical Imaging

article

Predictive Value of Dimensional and Functional MRI Parameters on Mid-Treatment MRI for Pathologic Complete Response in Breast Cancer

Levent Altın, Ahmet Bozer, Hamza Eren Güzel

October 23, 2025article en

Abstract

Mid-treatment MRI biomarkers, particularly Δ% longest diameter and Δ% ADC value, are effective early predictors of pCR and may support individualized treatment strategies during NAC.

European Journal of Breast HealthVol. 22(1)

Izmir University (TR)

Openalex Percentile: Top 55%

Radiomics and Machine Learning in Medical Imaging

DOI Open Access PDF OpenAlex

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Predictive Value of Dimensional and Functional MRI Parameters on Mid-Treatment MRI for Pathologic Complete Response in Breast Cancer — Levent Altın, Ahmet Bozer, et al. · European Journal of Breast Health (2025) | TGRS Research Map | TGRS